In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of the most ...

To prevent prompt injection attacks when working with untrusted sources, Google DeepMind researchers have proposed CaMeL, a defense layer around LLMs that blocks malicious inputs by extracting the ...

Researchers have discovered two vulnerabilities in the widely used Cursor AI-enabled integrated development environment (IDE) ...

Security leaders must adapt large language model controls such as input validation, output filtering and least-privilege access for artificial intelligence systems to prevent prompt injection attacks.

Menell] have shown that AI Large Language Models (LLMs) can fail to correctly distinguish between different instruction ...

Prompt injection, prompt extraction, new phishing schemes, and poisoned models are the most likely risks organizations face when using large language models. As CISO for the Vancouver Clinic, Michael ...

Your LLM-based systems are at risk of being attacked to access business data, gain personal advantage, or exploit tools to the same ends. Everything you put in the system prompt is public data.

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Moving forward requires coordinated technical, policy, and educational responses. An outright ban on AI in peer review, as is ...

“AI” tools are all the rage at the moment, even among users who aren’t all that savvy when it comes to conventional software or security—and that’s opening up all sorts of new opportunities for ...